Actual energy saving effects of thermal renovations in dwellings—longitudinal data analysis including building and occupant characteristics
暂无分享,去创建一个
[1] Elena Lucchi,et al. Applications of the infrared thermography in the energy audit of buildings: A review , 2018 .
[2] Kirsten Gram-Hanssen,et al. How building design and technologies influence heat-related habits , 2018 .
[3] Henk Visscher,et al. Performance gaps in energy consumption: household groups and building characteristics , 2018 .
[4] Tanja Winther,et al. Energy performance contracting (EPC): a suitable mechanism for achieving energy savings in housing cooperatives? Results from a Norwegian pilot project , 2017 .
[5] Ulrich Filippi Oberegger,et al. Energy retrofit and conservation of a historic building using multi-objective optimization and an analytic hierarchy process , 2017 .
[6] Henk Visscher,et al. Effectiveness of energy renovations: a reassessment based on actual consumption savings , 2018, Energy Efficiency.
[7] Henk Visscher,et al. Actual heating energy savings in thermally renovated Dutch dwellings , 2016 .
[8] Henk Visscher,et al. Building governance and climate change: roles for regulation and related polices , 2016 .
[9] Carlos A. Infante Ferreira,et al. A response factor-based method for the rapid in-situ determination of wall’s thermal resistance in existing buildings , 2016 .
[10] Daša Majcen,et al. Predicting energy consumption and savings in the housing stock: A performance gap analysis in the Netherlands , 2016 .
[11] Arnold Janssens,et al. Zoning and Intermittency Simplifications in Quasi-steady State Models , 2015 .
[12] Marco António Pedrosa Santos Ferreira,et al. Benefits from energy related building renovation beyond costs, energy and emissions , 2015 .
[13] Lee Chapman,et al. Critique and suggested modifications of the degree days methodology to enable long‐term electricity consumption assessments: a case study in Birmingham, UK , 2015 .
[14] Steven K. Firth,et al. How are UK homes heated? A city-wide, socio-technical survey and implications for energy modelling , 2015 .
[15] Kirsten Gram-Hanssen,et al. Retrofitting owner-occupied housing: remember the people , 2014 .
[16] Pieter de Wilde,et al. The gap between predicted and measured energy performance of buildings: A framework for investigation , 2014 .
[17] Ray Galvin,et al. Making the ‘rebound effect’ more useful for performance evaluation of thermal retrofits of existing homes: Defining the ‘energy savings deficit’ and the ‘energy performance gap’ , 2014 .
[18] Per Anker Jensen,et al. Sustainable renovation of residential buildings and the landlord/tenant dilemma , 2013 .
[19] K. Steemers,et al. A statistical analysis of a residential energy consumption survey study in Hangzhou, China , 2013 .
[20] Henk Visscher,et al. Actual and theoretical gas consumption in Dutch dwellings: What causes the differences? , 2013 .
[21] Kirsten Gram-Hanssen,et al. Efficient technologies or user behaviour, which is the more important when reducing households’ energy consumption? , 2013 .
[22] Henk Visscher,et al. Theoretical vs. actual energy consumption of labelled dwellings in the Netherlands: Discrepancies and policy implications , 2013 .
[23] O. Guerra Santin. Occupant behaviour in energy efficient dwellings: evidence of a rebound effect , 2013 .
[24] I. Hamilton,et al. Back to reality: How domestic energy efficiency policies in four European countries can be improved by using empirical data instead of normative calculation. , 2013 .
[25] Erdal Aydin,et al. The Rebound Effect in Residential Heating , 2013 .
[26] Jérôme Adnot,et al. An energy efficiency program analysis to understand the gaps between ex-ante and ex-post evaluations , 2012 .
[27] Ray Galvin,et al. Introducing the prebound effect: the gap between performance and actual energy consumption , 2012 .
[28] Olivia Guerra Santin,et al. Behavioural Patterns and User Profiles related to energy consumption for heating , 2011 .
[29] Koen Steemers,et al. Modelling domestic energy consumption at district scale: A tool to support national and local energy policies , 2011, Environ. Model. Softw..
[30] Reinhard Madlener,et al. Rebound Effects in German Residential Heating: Do Ownership and Income Matter? , 2011 .
[31] N. Kaza. Understanding the spectrum of residential energy consumption: A quantile regression approach , 2010 .
[32] O. Guerra Santin,et al. Actual energy consumption in dwellings: The effect of energy performance regulations and occupant behaviour , 2010 .
[33] K. Steemers,et al. Household energy consumption: a study of the role of occupants , 2009 .
[34] Henk Visscher,et al. The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock , 2009 .
[35] S. Sorrell,et al. Empirical estimates of the direct rebound effect: A review , 2009 .
[36] A. Druckman,et al. Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model , 2008 .
[37] Brian Norton,et al. Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use , 2008 .
[38] Enrico Fabrizio,et al. Assessment of building cooling energy need through a quasi-steady state model : Simplified correlation for gain-loss mismatch , 2007 .
[39] B. Boardman,et al. Making cold homes warmer: the effect of energy efficiency improvements in low-income homes A report to the Energy Action Grants Agency Charitable Trust , 2000 .
[40] Reinhard Haas,et al. The rebound effect for space heating Empirical evidence from Austria , 2000 .
[41] Hans Auer,et al. The impact of consumer behavior on residential energy demand for space heating , 1998 .